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Your ML & Data Knowledge Wiki. Best practices and expert-level knowledge for Machine Learning and Data Engineering, covering 1000+ frameworks and libraries from training to deployment.
Browse implementation patterns, configuration guides, debugging heuristics, and battle-tested defaults for frameworks like vLLM, DeepSpeed, Megatron-LM, FlashAttention, Triton, Unsloth, LangChain, and many more. Every page is structured so both humans and AI agents can find what they need fast.
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| Category | Description | Browse |
|---|---|---|
| Workflows | Step-by-step processes and procedures | Browse All |
| Principles | Core ideas and foundational knowledge | Browse All |
| Implementations | Code-level details and modules | Browse All |
| Heuristics | Best practices and guidelines | Browse All |
| Environments | Setup and configuration guides | Browse All |
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Workflows
- Workflow:Volcengine Verl Vision Language Model RL Training
- Workflow:Cleanlab Cleanlab CleanLearning Robust Training
- Workflow:Helicone Helicone Cost Calculation Pipeline
- Workflow:Apache Dolphinscheduler Datasource Connection Management
- Workflow:Pola rs Polars Streaming Large Dataset Processing
- Workflow:Scikit learn contrib Imbalanced learn Ensemble Imbalanced Classification
- Workflow:SeldonIO Seldon core Model Deployment
- Workflow:Vibrantlabsai Ragas Custom Metric Creation
- Workflow:Apache Paimon Data Ingestion With Ray Sink
- Workflow:TobikoData Sqlmesh Environment management
Principles
- Principle:FMInference FlexLLMGen HELM Tokenizer Adaptation
- Principle:FMInference FlexLLMGen Runtime Configuration Constants
- Principle:Ggml org Ggml Metal GPU Computation
- Principle:Ggml org Ggml Image IO
- Principle:Langgenius Dify Workflow Application Creation
- Principle:Openai Whisper Cross Attention Alignment
- Principle:Openai Evals Result Aggregation
- Principle:Promptfoo Promptfoo Redteam Report Generation
- Principle:Huggingface Datasets Pandas Dataset Building
- Principle:Langgenius Dify Plugin Installation
Implementations
- Implementation:Vibrantlabsai Ragas EvaluationDataset From List
- Implementation:LMCache LMCache MP Cache Engine
- Implementation:Datahub project Datahub Docker CLI Ingest Sample Data
- Implementation:Ray project Ray Metric Histogram
- Implementation:SeldonIO Seldon core Seldon Pipeline Version Update
- Implementation:Ggml org Ggml Hexagon flash attn
- Implementation:Openai Openai node Beta Threads Resource
- Implementation:Mlflow Mlflow Sidebars
- Implementation:Scikit learn Scikit learn MultiOutputClassifier
- Implementation:Mlflow Mlflow Register Model
Heuristics
- Heuristic:Run llama Llama index Worker Count Configuration
- Heuristic:Alibaba ROLL Dynamic Batching Token Limits
- Heuristic:Rapidsai Cuml GPU Cache Alignment
- Heuristic:Langfuse Langfuse Eval Loop Prevention
- Heuristic:SqueezeAILab ETS Embedding Model GPU Collocation
- Heuristic:Haotian liu LLaVA Quantization MM Projector Exclusion
- Heuristic:Huggingface Open r1 vLLM GPU Allocation
- Heuristic:Haifengl Smile BFGS Convergence Tuning
- Heuristic:PeterL1n BackgroundMattingV2 ONNX Patch Method Compatibility
- Heuristic:ClickHouse ClickHouse Debug Build Tips
Environments
- Environment:OpenHands OpenHands Integration Credentials
- Environment:Trailofbits Fickling Python Runtime
- Environment:Cohere ai Cohere python Cohere API Credentials
- Environment:NVIDIA NeMo Aligner TensorRT LLM Acceleration Environment
- Environment:MaterializeInc Materialize Kubernetes Helm Runtime
- Environment:Intel Ipex llm vLLM XPU Serving Environment
- Environment:Neuml Txtai API Server Configuration
- Environment:Mage ai Mage ai Python 3 9 Runtime
- Environment:Treeverse LakeFS Web UI Environment
- Environment:OpenGVLab InternVL PEFT LoRA